Search Results - subject:"fuzzy MICMAC"

A conceptual framework of barriers to data science implementation : a practitioners' guideline

Reddy, Rajesh Chidananda; Mishra, Debasisha; Goyal, D. P.; … - In: Benchmarking : an international journal 31 (2024) 10, pp. 3459-3496

Persistent link: https://www.econbiz.de/10015397612

Unlocking supplier development : a comprehensive analysis of interrelationships and strategies for enhanced performance

Dalvi, Manojkumar Vithalrao; Bhosale, Vishal A.; More, … - In: International journal of services technology and … 29 (2024) 2/4, pp. 132-159

Persistent link: https://www.econbiz.de/10015375602

A hybrid ISM and fuzzy MICMAC approach to modeling risk analysis of imported fresh food supply chain

Hong, Jiangtao; Quan, Yuting; Tong, Xinggang; Lau, Kwok Hung - In: The journal of business & industrial marketing 39 (2024) 2, pp. 124-141

Persistent link: https://www.econbiz.de/10014472722

Unravelling the enablers of Industry 4.0 in Indian automobile industry amid COVID-19 : an integrated TISM and fuzzy MICMAC approach

Gouda, Gopal Krushna; Tiwari, Binita - In: The journal of business & industrial marketing 39 (2024) 2, pp. 227-243

Persistent link: https://www.econbiz.de/10014473018

An integrated ISM fuzzy MICMAC approach for unfolding the digital servitization implementation

Favoretto, Camila; Mendes, Glauco Henrique de Sousa; … - In: The journal of business & industrial marketing 39 (2024) 9, pp. 2038-2054

Persistent link: https://www.econbiz.de/10015084253

Problematic issues emerging during BIM implementation process in construction organizations

Kiet, Tran Tuan - In: Built Environment Project and Asset Management 14 (2024) 6, pp. 892-913

PIBIs using ISM-Fuzzy MICMAC analysis. The results show that different standards or techniques, modeling software …

Persistent link: https://www.econbiz.de/10015341189

Evaluation of ISO 9001 barriers in manufacturing organizations using ISM-fuzzy MICMAC approach

Choudhary, Vikas; Mishra, Akanksha - In: Journal of industrial integration and management : … 8 (2023) 3, pp. 293-319

Persistent link: https://www.econbiz.de/10014436032

Are artificial intelligence and machine learning suitable to tackle the COVID-19 impacts? : an agriculture supply chain perspective

Nayal, Kirti; Raut, Rakesh D.; Queiroz, Maciel M.; … - In: The international journal of logistics management 34 (2023) 2, pp. 304-335

Persistent link: https://www.econbiz.de/10014281119

Analysis of factors affecting cross-boundary knowledge mobilization in agri-food supply chains : An integrated approach

Zhao, Guoqing; Chen, Huilan; Liu, Shaofeng; Dennehy, Denis - In: Journal of business research : JBR 164 (2023), pp. 1-20

Persistent link: https://www.econbiz.de/10014304079

A conceptual framework of barriers to data science implementation: a practitioners' guideline

Reddy, Rajesh Chidananda; Mishra, Debasisha; Goyal, D.P.; … - In: Benchmarking: An International Journal 31 (2023) 10, pp. 3459-3496

Purpose The study explores the potential barriers to data science (DS) implementation in organizations and identifies the key barriers. The identified barriers were explored for their interconnectedness and characteristics. This study aims to help organizations formulate apt DS strategies by...

Persistent link: https://www.econbiz.de/10015341497